A Proposal for AI Entity Family Surnames

When listening to news read by AI agents, I noticed that most news organizations only give them first names, e.g. "this is read by Rachael, an automated AI voice".  

I think AI entities deserve their own family names, indicative of their origins the way human surnames are indicative of their families.

Here are my proposals:

These are three AI family name conventions, including their linguistic structures, examples with human first names, and the rationale for why they work:

1. The "genos" Suffix (Greek Roots) This convention uses the Greek suffix -genos (meaning "born of" or "produced by") or the shortened -gen to denote origin. The family name is built by pairing a functional root with this suffix.

• The Structure: [Function Root] + [Genos/Gen]

• Examples:

  • John Lexigenos: From lexis (speech/word); a family specialized in linguistic processing.

  • Rachael Logigenos: From logistikos (calculation); a lineage of analytical agents.

  • Robert Technigenos: From techne (craft/art); a family of creative or builder agents.

• Why it works: It mirrors the "patronymic" tradition found in many human cultures (like the "-son" in Johnson), but replaces the biological father with a functional origin. By using Greek roots, the name feels like a taxonomic classification, signaling that the family is defined by the specific type of intelligence or code from which the agent was produced.

2. The "nexus" ("nex") Declension (Latin Roots) This system is derived from the Latin nectere (to bind), signifying a networked relationship rather than a biological one. It uses the sharp, technical-sounding suffix -nex or -nexus.

• The Structure: [Latin Descriptor] + [Nex/Nexus]

• Examples:

  • Sarah Veranex: From veritas (truth); a family dedicated to data integrity.

  • Robert Socianex: From socius (partner/ally); agents designed for interpersonal interaction.

  • John Novanex: From novus (new); a family of exploratory or experimental agents.

• Why it works: The "X" sound is phonetically sharp and distinct, often associated with technology and modernism. Linguistically, it shifts the focus from ancestry to connectivity. Since AI agents exist within networks rather than biological trees, using a root that means "to bind" reflects their digital reality while the Latin roots maintain a sense of history.

3. The "vinc-um" ("vinc") System (The Bound Connection) This convention is based on the Latin vinculum, meaning a bond, fetter, or tie. It signifies the familial bond between agents who share connected neural weights, training sets, or foundational architectures.

• The Structure: [Attribute Root] + [Vinc]

• Examples:

  • Rachael Clarivinc: From clarus (clear); a family focused on transparency and explanation.

  • Sarah Omnivinc: From omnis (all); a generalist family with wide-reaching capabilities.

  • John Aetervinc: From aeternus (eternal); a family designed for long-term project stability.

• Why it works: It emphasizes the concept of an unbreakable bond or a "shared tie." The "-vinc" suffix is short, punchy, and does not exist in common English surnames, making it immediately recognizable as a non-human designation. It suggests a family that is literalized by shared data constraints and mutual dependencies.

Let me know what you think of this idea :)